- Cellular Mechanics and Interactions
- Protein Structure and Dynamics
- Enzyme Structure and Function
- Thermal Radiation and Cooling Technologies
- Phase Change Materials Research
- Mass Spectrometry Techniques and Applications
- SARS-CoV-2 and COVID-19 Research
- Cardiovascular and exercise physiology
- Angiogenesis and VEGF in Cancer
- Advanced Thermoelectric Materials and Devices
- Advanced X-ray Imaging Techniques
- Blood properties and coagulation
- 3D Printing in Biomedical Research
- Adaptive optics and wavefront sensing
- Pulmonary Hypertension Research and Treatments
- Air Quality and Health Impacts
- Particle Accelerators and Free-Electron Lasers
- RNA and protein synthesis mechanisms
- Hemodynamic Monitoring and Therapy
- Thermal properties of materials
- Climate Change and Health Impacts
- Respiratory Support and Mechanisms
- COVID-19 Clinical Research Studies
- Optical Systems and Laser Technology
- Health Policy Implementation Science
Massachusetts General Hospital
2016-2025
Harvard University
2013-2024
Newton Wellesley Hospital
2024
Tufts University
2024
SLAC National Accelerator Laboratory
2018-2023
Menlo School
2018
Colorado School of Mines
2016-2018
University of California, Riverside
2014-2017
California Polytechnic State University
2008
University of Illinois Urbana-Champaign
1999-2006
Mechanical robustness of the cell under different modes stress and deformation is essential to its survival function. Under tension, mechanical rigidity provided by cytoskeletal network; with increasing stress, this network stiffens, providing increased resistance deformation. However, a must also resist compression, which will inevitably occur whenever volume decreased during such biologically important processes as anhydrobiosis apoptosis. individual filaments can buckle, thereby reducing...
Abstract As predicting the trajectory of COVID-19 is challenging, machine learning models could assist physicians in identifying high-risk individuals. This study compares performance 18 algorithms for ICU admission and mortality among patients. Using patient data from Mass General Brigham (MGB) Healthcare database, we developed internally validated using patients presenting to Emergency Department (ED) between March-April 2020 ( n = 3597) further them temporally distinct individuals who...
Endothelial cell alignment along the direction of laminar fluid flow is widely understood to be a defining morphological feature vascular homeostasis. While role associated signaling and structural events have been well studied, intercellular stresses under shear remained ill-defined these in process has obscure. To fill this gap, we report here tractions as complete in-plane stress fields measured within human umbilical vein endothelial (HUVEC) monolayer subjected steady 1 Pa. Tractions,...
Rationale: Despite the importance of inflammation in chronic obstructive pulmonary disease (COPD), immune cell landscape lung tissue patients with mild-moderate has not been well characterized at single-cell and molecular level. Objectives: To define from COPD resolution. Methods: We performed transcriptomic, proteomic, T-cell receptor repertoire analyses on (n = 5, Global Initiative for Chronic Obstructive Lung Disease I or II), emphysema without airflow obstruction 5), end-stage 2),...
Systematic understanding and real-time feedback capability for x-ray free electron laser (FEL) accelerator optical components are critical scientific experiments instrument performance.Single-shot wavefront sensing enables characterization of the intensity local electric field distribution at sample plane, something that is important such as nonlinear studies.It can also provide alignment tuning FEL beam instrumentation optics, leading to optimal performance greater operational efficiency.A...
We describe a method for predicting the structure of α/β class proteins in absence information from homologous structures. The is based on an associative memory model short to intermediate range sequence contacts and contact potential long contacts. coefficients energy function are chosen maximize ratio folding temperature glass transition temperature. use resulting optimized predict three protein domains ranging length 81 115 residues. predictions align with low rms deviations large...
This article describes the development and testing of a novel, water-cooled, active optic mirror system (called "REAL: Resistive Element Adjustable Length") that combines cooling with applied auxiliary heating, tailored to spatial distribution thermal load generated by incident beam. technique is theoretically capable sub-nanometer surface figure error control even at high power density. Tests conducted in an optical metrology laboratory synchrotron X-ray beamlines showed ability maintain...
Protein structure prediction is beginning to be, at least partially, successful. Evaluating predictions, however, has many elements of subjectivity, making it difficult determine the nature and extent improvements that are most needed. We describe how funnel-like energy functions used for protein determines their quality can be quantified using landscape theory multiple histogram sampling methods. Prediction algorithms exhibit a "caldera"-like rather than perfectly funneled one. Estimates...
SummaryAlthough the NEJM Group publications have already been covering health consequences of climate change and air pollution, we are redoubling our commitment in response to increasing urgency. We launching a broader effort starting with articles each journals addressing different aspects this unprecedented challenge.
We discuss the construction of a simple, off-lattice model protein with comparatively detailed representation backbone, and use it to address some general aspects folding kinetics small helical two peptide fragments. The makes an associative memory hamiltonian smoothly interpolate between limits native contact only, or Gō, potential statistical pair derived from database known structures. have observed qualitatively different behavior in these limits. In Gō limit, we see apparently...
We discuss how protein structure prediction schemes may be refined via a cumulant expansion approach using optimization criteria motivated by energy landscape ideas. The is advantageously combined with free profile analysis based on multiple histogram sampling methods, which enables quantitative assessment of the effects refinement to made. widely applicable, but illustrated here for previously described scheme intended use in absence any known homology information. relationship previous discussed.
Natural proteins fold because their free energy landscapes are funneled to native states. The degree which a model function for protein structure prediction can avoid the multiple minima problem and reliably yield at least low-resolution predictions is also dependent on topography of landscape. We show that funneling be quantitatively expressed in terms few averaged properties This allows us optimize simplified functions even absence homology information. Here we outline optimization...
Energy landscape theory is used to obtain optimized energy functions for predicting protein structure, without using homology information. At short sequence separation the are associative memory Hamiltonians constructed from a database of folding patterns in nonhomologous proteins and at large separations they have form simple pair potentials. The lowest minima provide reasonably accurate tertiary structures even though no homologous included construction Hamiltonian. We also quantify...
This study introduces a tailored COVID-19 model for patients with cancer, incorporating viral variants and immune-response dynamics. The aims to optimize vaccination strategies, contributing personalized healthcare vulnerable groups. Despite the declining number of deaths hospitalizations, combination waning immunity multiple circulating means that there is an ongoing need rational approach design routine schedules.1Magen O. Waxman J.G. Makov-Assif M. Vered R. Dicker D. Hernán M.A. Lipsitch...
A key feature of all inflammatory processes is disruption the vascular endothelial barrier. Such initiated in part through active contraction cytoskeleton cell (EC). Because contractile forces are propagated from to across a great many cell-cell junctions, this process strongly cooperative and highly nonlocal. We show here that characteristic length scale propagation modulated by agonists antagonists impact permeability In presence including thrombin, histamine, H2O2, force correlation...